interaction, collective learning and multiple equilibria possibility. This paper therefore argues for the adoption of alternative …

We examine learning, model misspecification, and robust policy responses to misspecification in a quasi …

This paper examines the learning dynamics of boundedly rational agents, who are asked to contribute to a discrete … confirmed by simulations, where the learning process is modeled by an Evolutionary Algorithm. We show that the contribution game …

network strategy and belief. The learning is modelled as an evolving network process i.e. a local network of agents, with non …

. Learning, mutation, and long run equilibria in games. Econometrica 61, 29–56], where agents follow best-response decision rules …

establishing certain features of monetary policy rules that facilitate learning, a comprehensive treatment of policy design for … learnability has yet to surface, especially for cases in which agents have potentially misspecified their learning models. This … learning true reduced forms of the economy is subject to potentially destabilizing errors. We then ask: can a central bank set …